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Command Development

Official
anthropics·vlatest·backend

This skill allows you to generate complex commands for AI agents, streamlining workflows and automating tasks efficiently.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it Command Development, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add anthropics/claude-code --skill "Command Development" -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

anthropics

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned anthropics/claude-code at 3deb873687.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
3deb873687
Manifest
plugins/plugin-dev/skills/command-development/SKILL.md
Scanned
11 files, 6,667 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The command-development skill enables AI agents to create, execute, and manage system commands. It supports writing scripts for automation tasks, debugging command-line interfaces, and integrating with development environments.

When to use it

  • Automating repetitive terminal tasks like file backups or server checks
  • Debugging and testing shell scripts during software development
  • Setting up continuous integration pipelines using command-based workflows

Key capabilities

  • Script creation and execution in multiple programming languages
  • Integration with common command-line tools and utilities
  • Real-time debugging of command sequences

Example prompts

  • "Write a bash script to back up my project directory daily."
  • "Debug this Python command that's throwing an error."
  • "Set up a CI pipeline using Git hooks and shell commands."

Tips & gotchas

Ensure you have the correct permissions when executing system-level commands. Always test scripts in a safe environment before deploying them to production systems.